embedded service oriented monitoring, diagnostics and control: towards the asset-aware and...

Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

Date: July, 2011

Linked to: eSONIA (ARTEMIS Research Project Call2010)

Contact information

Tampere University of Technology,

FAST Laboratory,

P.O. Box 600,

FIN-33101 Tampere,

Finland

Email: fast@tut.fi

www.tut.fi/fast

Conference: The 37th Annual Conference of the IEEE Industrial Electronics Society

Title of the paper: Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

Authors: Axel Vidales, Ivan M. Delamer, Prof. Jose L. Martinez Lastra

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Embedded service oriented monitoring, diagnostics and control: towards the asset-aware and self-recovery factory

Mr. Axel Vidales Ramos

Dr. Ivan M. Delamer

Prof. Jose L. Martinez Lastra

Tampere University of Technology, Finland

Outline

1. Motivation

2. Background

3. The eSONIA vision

4. Current development

5. Future work

Outline

1. Motivation

2. Background

3. The eSONIA vision

4. Current development

5. Future work

1. Motivation [1/3]

In Europe Manufacturing represents the 22% of the GDP and up to

60% is expend on production cost

The industries need to be understood in a holistic and continuous approach

1. Motivation [2/3]

• Enterprise-wide Middleware• Services at device level• Networked embedded systems• Interaction of services

1. Motivation [3/3]

• Service descriptions using semantics • Loosely coupled and high cohesion apps

Outline

1. Motivation

2. Background

3. The eSONIA vision

4. Current development

5. Future work

2. BackgroundRI-MACS2005

Web Service Gateways

SODA2006

WS stack for Embedded

Devices

SOCRADES2006

WS Orchestration & Production Optimization

eSONIA2010

Asset-awareness and Self-Recovery

AESOP2010

Industrial SOA reference

Architecture for Monitoring

videos

Outline

1. Motivation

2. Background

3. The eSONIA vision

4. Current development

5. Future work

3. The eSONIA view

1. IPv6-embedded devices

2. On-board specialized services

3. SOA interoperability

4. Easy integration of apps

Outline

1. Motivation

2. Background

3. The eSONIA vision

4. Current development

5. Future work

4. Current development [1/4]

Application LayerApp

Web Service

Presentation Layer

Session Layer

Transport Layer TCP | UDP

Network LayerIPv4 | IPv6

6LoWPAN

Data Link LayerIEEE 802.3 | IEEE

802.11 | IEEE 802.15.4Physical Layer

4. Current development [2/4]

4. Current development [3/4]

Apps:• 3D positioning• 3D visualization• KPI engine• Maintenance prediction• Production monitoring• Run-time optimization

4. Current Development [4/4]

Physical View Logical View

Outline

1. Motivation

2. Background

3. The eSONIA vision

4. Current development

5. Future work

6. Future work

• Communication Enterprise-wide in a real industrial use case• Native IPv6 in WSN• Performance and QoS

Q & AThanks for your attention